In what follows, we briefly elaborate on the main ideas of competing \({\mathtt {TFC}}\)  measures in the present work. For better clarity, we call a measure as the group-level \({\mathtt {TFC}}\)  measure if considering the group information, and the individual-level \({\mathtt {TFC}}\)  measure otherwise.
Specifically, we select 5 representative individual-level measures: tie strength [1]}, [2]}, number of common neighbors [1]}, [4]}, personalized PageRank [5]}, cosine and euclidean similarity of Node2Vec vectors [6]}; 3 commonly-used group-level measures: structural diversity [7]}, user-group tie strength [8]} and group edge density [9]}.
It is worth noting that the selected individual-level measures are also known as proximities [10]}, [1]}, which can reflect the topological closeness for all node pairs. Furthermore, these \({\mathtt {TFC}}\)  measures are widely applied in Tencent gaming platforms [12]}, [13]}.
